WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography.

Michael Nissen, Madeleine Flaucher, Katharina M Jaeger, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A Pontones, Peter A Fasching, Bjoern M Eskofier, Heike Leutheuser
{"title":"WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography.","authors":"Michael Nissen, Madeleine Flaucher, Katharina M Jaeger, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A Pontones, Peter A Fasching, Bjoern M Eskofier, Heike Leutheuser","doi":"10.1109/EMBC40787.2023.10340204","DOIUrl":null,"url":null,"abstract":"<p><p>Smartphones enable and facilitate biomedical studies as they allow the recording of various biomedical signals, including photoplethysmograms (PPG). However, user engagement rates in mobile health studies are reduced when an application (app) needs to be installed. This could be alleviated by using installation-free web apps. We evaluate the feasibility of browser-based PPG recording, conducting the first usability study on smartphone-based PPG. We present an at-home study using a web app and library for PPG recording using the rear camera and flash. The underlying library is freely made available to researchers. 25 Android users participated, using their own smartphones. The study consisted of a demographic and anamnestic questionnaire, the signal recording itself (60 s), and a consecutive usability questionnaire. After filtering, heart rate was extracted (14/17 successful), signal-to-noise ratios assessed (0.64 ± 0.50 dB, mean ± standard deviation), and quality was visually inspected (12/17 usable for diagnosis). Recording was not supported in 9 cases. This was due to the browser's insufficient support for the flash light API. The app received a System Usability Scale score of 82 ± 9, which is above the 90th percentile. Overall, browser flash light support is the main limiting factor for broad device support. Thus, browser-based PPG is not yet widely applicable, although most participants feel comfortable with the recording itself. The utilization of the user-facing camera might represent a more promising approach. This study contributes to the development of low-barrier, user-friendly, installation-free smartphone signal acquisition. This enables profound, comprehensive data collection for research and clinical practice.Clinical relevance- WebPPG offers low-barrier remote diagnostic capabilities without the need for app installation.</p>","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC40787.2023.10340204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Smartphones enable and facilitate biomedical studies as they allow the recording of various biomedical signals, including photoplethysmograms (PPG). However, user engagement rates in mobile health studies are reduced when an application (app) needs to be installed. This could be alleviated by using installation-free web apps. We evaluate the feasibility of browser-based PPG recording, conducting the first usability study on smartphone-based PPG. We present an at-home study using a web app and library for PPG recording using the rear camera and flash. The underlying library is freely made available to researchers. 25 Android users participated, using their own smartphones. The study consisted of a demographic and anamnestic questionnaire, the signal recording itself (60 s), and a consecutive usability questionnaire. After filtering, heart rate was extracted (14/17 successful), signal-to-noise ratios assessed (0.64 ± 0.50 dB, mean ± standard deviation), and quality was visually inspected (12/17 usable for diagnosis). Recording was not supported in 9 cases. This was due to the browser's insufficient support for the flash light API. The app received a System Usability Scale score of 82 ± 9, which is above the 90th percentile. Overall, browser flash light support is the main limiting factor for broad device support. Thus, browser-based PPG is not yet widely applicable, although most participants feel comfortable with the recording itself. The utilization of the user-facing camera might represent a more promising approach. This study contributes to the development of low-barrier, user-friendly, installation-free smartphone signal acquisition. This enables profound, comprehensive data collection for research and clinical practice.Clinical relevance- WebPPG offers low-barrier remote diagnostic capabilities without the need for app installation.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
WebPPG:基于浏览器的智能手机照相术的可行性和可用性。
智能手机可以记录各种生物医学信号,包括血压计 (PPG),因此为生物医学研究提供了便利。然而,如果需要安装应用程序(App),移动医疗研究的用户参与率就会降低。使用免安装的网络应用程序可以缓解这一问题。我们评估了基于浏览器的 PPG 记录的可行性,首次对基于智能手机的 PPG 进行了可用性研究。我们介绍了一项使用网络应用程序和库进行 PPG 记录的家庭研究,使用的是后置摄像头和闪光灯。底层库免费提供给研究人员使用。25 名安卓用户使用自己的智能手机参与了这项研究。研究包括一份人口统计学和异常问卷、信号记录本身(60 秒)和一份连续的可用性问卷。经过过滤后,提取了心率(14/17 成功),评估了信噪比(0.64 ± 0.50 dB,平均值 ± 标准差),并对质量进行了目测(12/17 可用于诊断)。有 9 个案例不支持记录。这是因为浏览器对闪光灯 API 的支持不够。该应用程序的系统可用性量表得分为 82 ± 9 分,高于第 90 百分位数。总的来说,浏览器对闪光灯的支持是限制广泛设备支持的主要因素。因此,基于浏览器的 PPG 尚未广泛应用,尽管大多数参与者对记录本身感到舒适。利用面向用户的摄像头可能是一种更有前途的方法。这项研究为开发低门槛、用户友好、免安装的智能手机信号采集技术做出了贡献。临床相关性--WebPPG 可提供低门槛的远程诊断功能,无需安装应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
期刊最新文献
Cleverballoon: An integrated approach for developing a drug-coated balloon with everolimus. Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up. WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. Wireless and Wearable Auditory EEG Acquisition Hardware Using Around-The-Ear cEEGrid Electrodes. Machine learning-based classification and risk factor analysis of frailty in Korean community-dwelling older adults.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1